Hierarchical learning multi-objective firefly algorithm for high-dimensional feature selection
Authors:
- Jia ZhaoJZJia Zhao
- Siyu LvSLSiyu Lv
- Renbin XiaoRXRenbin Xiao
- Huan MaHMHuan Ma
- Jeng-Shyang PanJeng-Shyang Pan
- 2 August 2024
- journal article
- research article
- Published by Elsevier in Applied Soft Computing
- Vol. 165
Abstract
No abstract availableKeywords
Funding Information
- Foundation for Innovative Research Groups of the National Natural Science Foundation of China
- National Natural Science Foundation of China (52069014)
This publication has 43 references indexed in Scilit:
- An enhanced particle swarm optimization with position update for optimal feature selectionExpert Systems with Applications, 2024
- A high-dimensional feature selection method based on modified Gray Wolf OptimizationApplied Soft Computing, 2023
- Improved firefly algorithm for feature selection with the ReliefF-based initialization and the weighted voting mechanismNeural Computing and Applications, 2022
- Improved multi-layer binary firefly algorithm for optimizing feature selection and classification of microarray dataBiomedical Signal Processing and Control, 2022
- A particle swarm optimization based multiobjective memetic algorithm for high-dimensional feature selectionMemetic Computing, 2022
- Binary butterfly optimization approaches for feature selectionExpert Systems with Applications, 2019
- Joint neighborhood entropy-based gene selection method with fisher score for tumor classificationApplied Intelligence, 2018
- Feature selection via a novel chaotic crow search algorithmNeural Computing and Applications, 2017
- Optimal feature selection using distance-based discrete firefly algorithm with mutual information criterionNeural Computing and Applications, 2016
- Multiobjective firefly algorithm for continuous optimizationEngineering with Computers, 2012